log_pi_x: Likelihood of the intensity function.

In JPNotts/Package: Simulate Spike Sequences

Description

Likelihood of the intensity function.

Usage

log_pi_x(
  d.spikes,
  hyper.param,
  partition = NA,
  heights = NA,
  x = NA,
  end.time = NA,
  T.min = NULL,
  max.T.min = NA,
  ISI.type = "Gamma",
  do.log = TRUE
)

Arguments

d.spikes	Data frame containing spike sequences
hyper.param	Value of the ISI parameter.
partition	Partition of time experiment time. A vector of K values where the first entry is 0 and the last is the end of experiment time.
heights	Vector of (K-1) heights corresponding to the partition.
x	The intensity function
end.time	End of experiment time
T.min	Refractory period, default set to NULL.
max.T.min	If T.min != NULL, the maximum allowable refractory period.
ISI.type	The ISI distribution.
do.log	Flag, where if do.log is true the calculations are computed on the log scale.

Value

Likelihood of the intensity function.

JPNotts/Package documentation built on Oct. 5, 2021, 2:04 p.m.